AI assistant for every department
He knows your processes. Works in your systems. Measurable results from the first week.
Issues.
Routine eats up time
Repetitive manual tasks block business growth
Sales
60% of the time is spent on filling out CRM, emails, and KPIs instead of sales.
HR
Onboarding lasts 2-4 weeks. 80% of questions are of the same type. Manual processing of documents.
Composition
Manual calculation of balances, late applications, long processing of invoices.
Projects
Manual writing of status reports. Lack of real-time risk tracking.
Manufacturing
Searching for instructions in papers. Late fixation of deviations. Liquid reporting.
Analytics
Data is scattered in Excel, CRM, ERP. It takes hours to manually summarize. Decisions based on «feelings».
Departments
AI assistants for every department
- Generates controllers based on a template
- Analyzes calls and objections
- Maintains CRM records automatically
- Prepares follow-up emails
- Offers «next best action»
- Lead scoring
- Monitors balances in real time
- Generates auto-applications to suppliers
- Draws up invoices based on photos
- Scans inventory
- Forecasts demand for 30 days
- Search for a product by article
- Issues instructions for equipment
- Maintains variable checklists
- Captures defects with photos and deviations
- Analyzes downtime
- Reminds you of scheduled maintenance
- Conducts onboarding of new employees
- Answers FAQ 24/7
- Resume screening
- Prepares orders and documents
- Collects 1-on-1 feedback
- Reminds you of vacations and KPIs
- Keeps minutes of meetings from the transcript
- Prepares auto-status reports
- Keeps track of risks and deadlines
- Collects updates from the team
Architecture
How it works
Data connection
CRM/ERP/HRM, documents (PDF), APIs, Real-time flows
AI core
RAG (answers from your data), LLM reasoning (GPT-4o/Claude), agent actions, context control
Interfaces
Chatbots (Web, Telegram), voice agents built into CRM/ERP, APIs
Analytics
Utilization dashboard, KPIs by department, response audit, performance reports
Evolution
How an assistant develops
From assistant to optimizer in 6 months
Assistant
Months 1-2: Discovery & LaunchTraining on the corporate knowledge base and launch of the basic functionality.
- Search by documentation
- Preparation of draft answers
- Automatic notifications
Agent
Months 3-4: Integration & ActionIntegration with internal systems to perform proactive actions.
- Filling out forms in CRM
- Outgoing emails and follow-ups
- Launching business processes
Optimizer
Months 5-6+: Analytics & ScaleDeep analytics and autonomous process improvement.
- Forecasting risks and bottlenecks
- Autonomous learning of the system
- Global ROI analytics
Casey
Real results
Sales - AI prepares KP and follow-up
Managers focused on negotiations. Automation of routine operations increased the number of processed leads.
Warehouse - auto-applications and invoices
Calculating the need for goods and placing orders in minutes instead of hours. Minimizing the human factor.
HR - AI assistant in Telegram
Answers employees' questions 24/7 instead of an HR manager. Full support of onboarding.
Projects - Minutes and reports
Auto-transcription of meetings and instant report generation. Real-time status tracking.
TECHNOLOGIES
Tech stack
Our smart assistants are powered by the most powerful automation models and tools.
ABOUT US
Why choose Applic
We are a team of developers with 23 years of experience at IT Artel Group. We build complex business systems where AI is part of the solution, not the entire product.
- Full development cycleFrom idea and MVP to production support — all in one place
- Complex business logicNo templates, no CMS — custom architecture for your business needs
- AI as part of a systemIntegrating LLMs deeply into business processes, not superficially
- Transparent processClear technical specification, fixed deadlines, transfer of ownership after completion
23+
Years of experience
50+
Projects
23 years in the IT market. Proprietary SaaS products and custom development for SMBs and enterprises.
FAQ
Frequently asked questions
3 Discovery sessions of 1 hour each to analyze the department and formulate a Pilot proposal.
No, it takes away the routine. Not a single client has reduced their team after implementation.
3-6 months. Saving 20-40% FTE time of department employees.
RAG minimizes hallucinations. Complex cases are transferred to a human. Audit log of every action.
Process
Our approach: Pilot-First
Quick start, hypothesis testing, scaling.
Pilot Launch
Quickly deploy a prototype on limited data to test accuracy and ROI.
Deep Discovery
A detailed audit of all knowledge sources, building architecture and mapping processes.
Engineering
Development of a full-scale system with support for Multi-agent workflows and APIs.
Deployment
Industrial launch, staff training, and full migration of corporate knowledge.
Growth
Support, model training, and expansion of the system to new business verticals.
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